AIMC Topic: General Surgery

Clear Filters Showing 91 to 100 of 109 articles

Using Natural Language Processing to Automatically Assess Feedback Quality: Findings From 3 Surgical Residencies.

Academic medicine : journal of the Association of American Medical Colleges
PURPOSE: Learning is markedly improved with high-quality feedback, yet assuring the quality of feedback is difficult to achieve at scale. Natural language processing (NLP) algorithms may be useful in this context as they can automatically classify la...

Robotic-Assisted Surgery Training (RAST) Program: An Educational Research Protocol.

Surgical technology international
Technology has had a dramatic impact on how diseases are diagnosed and treated. Although cut, sew, and tie remain the staples of surgical craft, new technical skills are required. While there is no replacement for live operative experience, training ...

THE FUTURE OF TECHNOLOGY AND ROBOTICS IN SURGERY.

Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion
In the past three decades, several technologies designed for other purposes, have been applied in surgery to provide more precision to the surgical procedures and better outcomes. In surgery, innovation requires evidence before widespread implementat...

[Digitalization in surgery : What surgeons currently think and know about it-results of an online survey].

Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen
BACKGROUND: The digitalization process is currently on everyone's lips and sweeping changes in the field of public health and especially in surgery are to be expected within the next few years. Besides general issues, such as electronic health record...

Artificial Intelligence: Can Information be Transformed into Intelligence in Surgical Education?

Thoracic surgery clinics
Artificial intelligence (AI) is being rapidly integrated into various medical applications. Although early application of AI has been achieved in image-based, as well as statistical computational models, translation into procedure-based specialties s...

Using Machine Learning to Assess Physician Competence: A Systematic Review.

Academic medicine : journal of the Association of American Medical Colleges
PURPOSE: To identify the different machine learning (ML) techniques that have been applied to automate physician competence assessment and evaluate how these techniques can be used to assess different competence domains in several medical specialties...